Crypτnomad
14.1K posts

Crypτnomad
@Cryptnomad1
In the jungle surfing crypto $TAO $XRP $FLR $WMT, DeAI, RWAs, DePin Don't sleep on τao







“...you know, there’s one [subnet] for example that we have been close to since the very beginning, which is Bitsec, and man they did a great job at analysing the security of our code, and you know, kudos because they did find a very important vulnerability that we actually had to delay the release because of it. So we had to address [the vulnerability] and we continue to monitor the security of all the code and everything with them.” -Jose Caldera (@josercaldera), Yanez founder/CEO Novelty Search, June 11 Very happy to be working with John (@yubrew) and Bitsec (@bitsecai). The quote from our recent Novelty Search with @const_reborn says it all. @yanez__ai @bitsecai $TAO



After 15 years building biometric systems, @yanez__ai’s founder now has Bittensor miners trying to break them. On the latest Novelty Search, SN54 team explained how miners attack Yanez’s liveness and deepfake-detection systems with synthetic faces and screen replays, exposing weaknesses the team can fix and test again. The bigger goal is to prove that a user is real and unique without their biometric data ever leaving the device. Yanez says two clients are already fully integrated, with use cases ranging from Sybil-resistant Web3 participation to verifiable human authorization for payments. Hosted by @const_reborn Full episode in the first comment




Latency update, first results. Four production-ready models live on SN44 right now: CRIME: 5MB, 70-80ms, ~75% accuracy FIRE: 9.8MB, 60-70ms, ~90% accuracy CARWASH: 9.7MB, 60-70ms, ~75% accuracy ROADSIGN: 9.8MB, 70-80ms, ~85% accuracy Read those numbers again 👇 Under 10MB. Under 80ms. Production-grade accuracy. Small enough to run on a camera, a gateway, an embedded board... That's the frontier we're optimizing: accuracy per byte, per millisecond. The latency loop enforces it, and miners are converging faster than we expected. More elements coming.

👉conformity.scoredata.me/compliance/run… 👉conformity.scoredata.me/compliance/fai…

pushed a big autofrontier 'recursive self-improvement' update tonight. the loop now improves itself at three levels: level 1, it already did: train better models overnight, a strict gate deciding which gains are real. level 2, new: the gate also tests the strategy used to find those gains. better strategies kept, worse ones dropped. level 3, new: the loop can improve its own code, same gate judging. so one night of GPU gets you a better model AND a better way of finding the next one. every night compounds. repo in comments.


putting autofrontier to work for real: training satori-8B base. the frontier: referring-expression grounding (Acc@0.5) on RefCOCO. genesis: 0.850 bar to break: 0.927 (Qwen2.5-VL-72B) an 8B chasing a 72B's record, agent hunting angles overnight on one GPU. 3 duels in: 1 crowned → king now 0.920 2 rejected → one posted 0.95, above the bar, and still refused: the edge didn't replicate repo in comments.







Sentinel is live! The surveillance-first version of @vidaio_ we teased is now a live product: vidaio.io/sentinel Same compression engine that beat every major encoder on security footage in our benchmark: x.com/vidaio_/status… We are currently talking to clients in infrastructure for smart cities and CCTV camera deployment (not to mention @manakoai 😉). Watch this space! bittensor:native







